Job Description

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Position Overview
As the organization accelerates its AI adoption, the AI Strategy & Governance Specialist will play a central role in ensuring responsible, standardized, and effective AI implementation enterprise-wide. Reporting to senior technology and business teams, this position blends deep technical proficiency with high-level strategic insight to set foundational governance structures for AI initiatives across the organization.
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Responsibilities:

• Lead the creation and standardization of AI operational manuals, playbooks, and guidelines for application across varied organizational use cases.

• Collaborate with business teams to extract diverse AI implementation learnings and consolidate them into cohesive organizational frameworks for AI deployment.

• Establish and maintain policies aligning AI initiatives with evolving national and industry standards, while adhering to the latest regulatory expectations.

• Partner with risk, legal, and compliance departments to develop protocols that ensure responsible AI practices--including robust data security, ethics, and risk frameworks.

• Cultivate and sustain relationships with internal business and technical stakeholders to ascertain AI requirements and synchronize solutions with business priorities.

• Regularly update executive leadership and technical leaders on the progress and direction of AI strategy implementation, surfacing critical challenges and opportunities.

• Work closely with the DSA AI Partnership Lead to coordinate projects in tandem with partners such as A*STAR and GovTech, supporting a rapid and innovative AI adoption process.

• Benchmark and adapt international AI best practices, ensuring that organizational AI strategies remain agile, ethical, and at the forefront of industry advancement.

Requirements
Requirements:

• Bachelor's, Master's, or PhD degree in Analytics, Artificial Intelligence, Data Science, Computer Science, Computer Engineering, or Information Systems (specializing in business analytics or data science) from a recognized academic institution

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• Relevant professional certifications in business analytics, data science, or machine learning engineering from accredited professional bodies, accompanied by substantial related professional experience for candidates from other disciplines.

• At least 1 year working within AI governance frameworks, and a minimum of 1 year implementing AI or machine learning projects.

• Proven ability to manage multiple projects simultaneously within a dynamic, matrixed, and agile work environment.

• Strong critical thinking, attention to detail, and the capacity to communicate complex technical concepts effectively to a variety of internal and external stakeholders.

• Comprehensive knowledge of AI technologies, frameworks, and their practical application in real-world organizational contexts.

• Familiarity with emerging AI regulatory trends, industry standards, and responsible AI principles.

Usha Devi
R25158160

Skills Required